Open Net Worth
Open Net Worth는 직접 운영하는 오픈소스 개인 AI 자산 비서로, 전체 재무를 하나의 원장에 기록하고 사용자가 제어하는 AI가 관리
오픈소스 증거 기반 금융 연구 플랫폼, SEC 서류와 연계된 복합 신호·시간여행 재생·해시 기반 검증 연구 원장 제공
Open-source evidence-first financial research platform. Composite signals tied to SEC filings, time-machine replay, hash-anchored Verified Research Ledger. Agent Research API · MCP · LangChain/LlamaIn
금융Python · ShellGitHub @YuClawLab온라인운영자 미확인
써 보셨어요? 한 번만 눌러 주세요. 로그인은 필요 없어요.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Evidence-First Financial AI — the Science Trust Layer for Financial AI. Open-source, runs on your own hardware. Every claim traces to an SEC filing; every method is locked before the data arrives; every result is kept in a public, hash-linked record built to be recomputed by anyone. Research & education only — not investment advice. Apache-2.0.
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Research & education only. Not investment advice.
Evidence-First Financial AI
The Science Trust Layer for Financial AI.
Evidence before answers.
Financial AI normally gives you an answer.
YUCLAW gives you the evidence — what was known, when it was known, what it can support, what it cannot, and whether the conclusion survived.
Make financial AI accountable to evidence.
• Trace every claim to the filing it came from.
• Lock every method before the data arrives.
• State every conclusion’s limits.
• Keep every result — including the ones we wished had come out differently.README 전문 보기 ↗Financial AI normally gives you an answer.
YUCLAW gives you the evidence — what was known, when it was known, what it can support, what it cannot, and whether the conclusion survived.
Make financial AI accountable to evidence.
A public, hash-linked record, built to be recomputed by anyone.
Become the Science Trust Layer for Financial AI.
The evidence infrastructure that AI systems, researchers, and institutions use to decide what deserves to be believed.
| Principle | Practice |
|---|---|
| We don’t ask you to trust us. | We give you the hash. |
| We don’t predict. | We register, compute once, and disclose. |
| We don’t hide the days we were wrong. | We chain them. |
| For | What you get |
|---|---|
| Analysts | The evidence behind every label, and the label’s limits. |
| Builders | Machine-readable receipts — passports, endpoints, and a registry you can walk line by line. |
| Institutions | A record that can be audited without asking us. |
Statistics is one instrument. Evidence is the foundation. Science is the discipline.
AI is the market. Trust is the product. Accountability is the mission.
Designed for reproduction from published artifacts. One affiliated external-machine reproduction recorded; unaffiliated replications: 0.
First touch — install, ask for help, check a claim, reproduce the Lab (expected exit code in the comment):
pip install yuclaw # installs the CLI
yuclaw --help # command list with one-line descriptions · exit 0
yuclaw check-claim --text "NVDA reported an insider sale in May 2026" # Evidence Passport JSON · exit 0
yuclaw check-claim --ticker NVDA --accession 0001045810-26-000019 # passport for one cited filing · exit 0
yuclaw check-claim --accession 0001045810-26-000019 # accession alone: unique → same passport · exit 0
# (ambiguous accession → exit 2 with the candidate tickers)
yuclaw replay-lab # rebuilds every published Lab statistic · exit 0 = reproduced
Exit-code contract for every command: 0 = success · 1 = ran, negative result (e.g. a replay mismatch) · 2 = usage or validation error · 3 = environment unsupported. The transcript below is generated from the release-candidate wheel and regenerated every release:
Transcript produced from the release-candidate wheel yuclaw-9.1.0-py3-none-any.whl (yuclaw 9.1.0, Python 3.12) by tools/cli_transcript.py; the replay-lab run uses the documented local-bundle path. Every command ran with YUCLAW_CORPUS=snapshot: check-claim answers from the corpus snapshot bundled in the wheel and never looks for a research node (without that setting, a host that reaches a research node answers from it and its passport has no corpus block). No date: release verification compares this block byte-for-byte with a fresh transcript of the final artifact, made the same way.
여기까지가 README 앞부분입니다. 나머지는 원문에서 읽을 수 있습니다. README 전문 보기 ↗